Day 72 - Grafana ????
What is Grafana?
No matter where your metrics are kept, Grafana is an open-source data visualization and monitoring application that enables you to query, visualize, receive alerts for, and comprehend them. Numerous data sources are supported, including well-known databases like MySQL, PostgreSQL, and Prometheus.
What are the features of Grafana?
Why Grafana?
Due to its robust and adaptable dashboard editor, support for several data sources, diversity of visualization options, alerting capabilities, user control features, and active community support, Grafana is a well-liked tool for data visualization and monitoring. It enables users to quickly produce dynamic dashboards that are responsive and aesthetically pleasing so they can learn more about the functionality and state of their systems. Grafana is a flexible tool for monitoring and visualizing numerous methods since it can be connected with a broad variety of data sources, including databases, time series databases, and log data.
What type of monitoring can be done via Grafana?
Grafana supports a wide range of monitoring types, including:
What databases work with Grafana?
Numerous databases, including PostgreSQL, Elasticsearch, Prometheus, and MySQL, are compatible with Grafana. Additionally, it is compatible with time series databases like OpenTSDB and InfluxDB.
What are metrics and visualizations in Grafana?
In Grafana, metrics are the numerical data points that are collected over time to measure various aspects of a system’s performance. Visualizations are the graphical representations of these metrics, such as graphs, tables, and gauges.
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What is the difference between Grafana vs Prometheus?
1. Prometheus is a monitoring system and time-series database, while Grafana is a data visualization and dashboarding platform.
2. Prometheus collects and stores metric data from various sources, while Grafana leverages external data sources like Prometheus for visualization.
3. Prometheus provides a powerful query language called PromQL for analyzing and querying data, while Grafana focuses on providing flexible options for data visualization and exploration.
4. Prometheus has limited built-in visualization capabilities, while Grafana offers a rich and intuitive UI for creating interactive and customizable dashboards.
5. Prometheus has its own built-in time-series database for storing metrics, while Grafana relies on external data storage systems.
6. Prometheus excels in integration with the cloud-native landscape, while Grafana has an extensive plugin ecosystem for integration with various data sources.
7. Prometheus focuses on metrics monitoring and alerting, while Grafana focuses on data presentation and sharing.
8. Prometheus automatically evicts older data based on a configurable retention period, while Grafana does not store data itself.
9. Prometheus is well-suited for collecting and analyzing metric data in real time, while Grafana is ideal for visualizing and monitoring the collected data.
10. Prometheus and Grafana are often used together as a powerful combination, where Prometheus collects and stores data, while Grafana provides the interface for data visualization and exploration.
I appreciate your time. I hope it will be beneficial to you. ????
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